Instructions to use deepcogito/cogito-v2-preview-llama-70B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use deepcogito/cogito-v2-preview-llama-70B with Transformers:

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-generation", model="deepcogito/cogito-v2-preview-llama-70B")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("deepcogito/cogito-v2-preview-llama-70B")
model = AutoModelForCausalLM.from_pretrained("deepcogito/cogito-v2-preview-llama-70B")
messages = [
    {"role": "user", "content": "Who are you?"},
]
inputs = tokenizer.apply_chat_template(
	messages,
	add_generation_prompt=True,
	tokenize=True,
	return_dict=True,
	return_tensors="pt",
).to(model.device)

outputs = model.generate(**inputs, max_new_tokens=40)
print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:]))

Inference
Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use deepcogito/cogito-v2-preview-llama-70B with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "deepcogito/cogito-v2-preview-llama-70B"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "deepcogito/cogito-v2-preview-llama-70B",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/deepcogito/cogito-v2-preview-llama-70B

SGLang

How to use deepcogito/cogito-v2-preview-llama-70B with SGLang:

Install from pip and serve model

# Install SGLang from pip:
pip install sglang
# Start the SGLang server:
python3 -m sglang.launch_server \
    --model-path "deepcogito/cogito-v2-preview-llama-70B" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "deepcogito/cogito-v2-preview-llama-70B",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker images

docker run --gpus all \
    --shm-size 32g \
    -p 30000:30000 \
    -v ~/.cache/huggingface:/root/.cache/huggingface \
    --env "HF_TOKEN=<secret>" \
    --ipc=host \
    lmsysorg/sglang:latest \
    python3 -m sglang.launch_server \
        --model-path "deepcogito/cogito-v2-preview-llama-70B" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "deepcogito/cogito-v2-preview-llama-70B",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use deepcogito/cogito-v2-preview-llama-70B with Docker Model Runner:
```
docker model run hf.co/deepcogito/cogito-v2-preview-llama-70B
```

Tool Calling possible?

by RobertGro - opened Jul 31, 2025

Discussion

RobertGro

Jul 31, 2025

Thanks for providing us with the new cogito. Does it has tool calling capabilities? I'd like to use it with my custom tools with an OpenAI like completion API and a llama.cpp server.

drishanarora

Deep Cogito org Jul 31, 2025

Yes - the models work very well with tool calling (for both reasoning and non-reasoning modes).

drishanarora changed discussion status to closed Jul 31, 2025

RobertGro

Jul 31, 2025

Really nice thank you! I'm excited to try this one out

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